Comprehension of insincere communication is an important aspect of social cognition requiring visual perspective taking, emotion reading, and understanding others' thoughts, opinions, and intentions. Someone who is lying intends to hide their insincerity from the listener, while a sarcastic speaker wants the listener to recognize they are speaking insincerely. We investigated whether face-to-fa...

Sarcasm is a statement that conveys an opposing viewpoint viapositive or exaggeratedly positive phrases. Due to this intentionalambiguity, sarcasm identification has become one of the importantfactors in sentiment analysis make many researchers naturallanguage processing intensively study detection. Thisresearch using multiple channels embedding attentionbidirectional long-short memory (MCEA-BL...

Social interaction is profoundly affected in the behavioural form of frontotemporal dementia (bvFTD) yet there are few means of objectively assessing this. Diagnosis of bvFTD is based on informant report, however a number of individuals with a clinical profile consistent with the disease have no imaging abnormality and seem to remain stable, with doubt about the presence of underlying neurodege...

Automated sarcasm detection is deemed as a complex natural language processing task and extending it to morphologically-rich free-order dominant indigenous Indian Hindi another challenge in itself. The scarcity of resources tools such annotated corpora, lexicons, dependency parser, Part-of-Speech tagger, benchmark datasets engorge the linguistic challenges low-resource languages like Hindi. Fur...

Sentiment analysis is a major area of natural language processing (NLP) research, and its sub-area sarcasm detection has received growing interest in the past decade. Many approaches have been proposed, from basic machine learning to multi-modal deep solutions, progress made. Context proven be instrumental for many techniques that use context identify emerged. However, no NLP research focused o...